Table 4.
Estimation results for the metro ridership in Beijing.
| Panel I: Full model (control for imported COVID-19 cases) |
Panel II: Restricted model (no control for imported COVID-19 cases) |
||||||||
|---|---|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | ||||||
| Variable | Coef. | S.E. | Coef. | S.E. | Coef. | S.E. | Coef. | S.E. | |
| Constant | −36.988*** | 6.971 | −37.308*** | 7.311 | −38.125*** | 6.964 | −38.041*** | 7.295 | |
| COVID19cum14 | −0.091*** | 0.010 | n. a. | n. a. | −0.087*** | 0.010 | n. a. | n. a. | |
| COVID19 | n. a. | n. a. | −0.627*** | 0.109 | n. a. | n. a. | −0.608*** | 0.108 | |
| COVID19im | −0.528** | 0.254 | −0.320 | 0.263 | n. a. | n. a. | n. a. | n. a. | |
| LevelI | −48.157*** | 1.883 | −51.239*** | 1.911 | −49.021*** | 1.843 | −52.700*** | 1.876 | |
| LevelII | −19.796*** | 1.797 | −23.834*** | 1.789 | −19.732*** | 1.803 | −23.701*** | 1.788 | |
| GDPd | 0.208*** | 0.068 | 0.204*** | 0.071 | 0.218*** | 0.068 | 0.211*** | 0.071 | |
| Temperature | −0.250*** | 0.051 | −0.209*** | 0.053 | −0.257*** | 0.051 | −0.215*** | 0.053 | |
| Precipitation | −0.150** | 0.064 | −0.177*** | 0.066 | −0.151** | 0.064 | −0.177*** | 0.067 | |
| Weekend | −10.967*** | 0.993 | −10.716*** | 1.037 | −10.977*** | 0.997 | −10.732*** | 1.038 | |
| AIC | 4712 | 4761 | 4714 | 4759 | |||||
| BIC | 4756 | 4809 | 4754 | 4799 | |||||
| Observation | 609 | 609 | 609 | 609 | |||||
Note: ***, **, and * indicate statistical significance at the 1%, 5%, and 10% levels, respectively.